Adam Eck is the David H. and Margaret W. Barker Associate Professor of Computer Science and Chair of the Data Science Integrative Concentration at Oberlin College. His primary research and teaching interests include: multiagent decision making in complex environments and applications of machine learning in computational social science and public health.

Adam's research projects include:

• Developing planning and reinforcement learning solutions to decision making in open environemnts where the set of actors, tasks, and abilities change over time (e.g., as in robotic wildfire suppression, AI support systems for cybersecurity defense, and autonomous ridesharing services)
• Utilizing machine learning and data mining to better understand community-level factors related to public health crises, including the ongoing opioid epidimic and the COVID-19 pandemic
• Exploring the use of chatbots for augmenting skilled human workers in the task of survey questionnaire design and other applications of machine learning to aid survey informatics